Missing value imputation strategies for metabolomics data (Q30993852)

28 June 2017

Missing value imputation strategies for metabolomics data (English)

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28 June 2017

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2 June 2020

Joanna Godzien

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2 June 2020

Ángeles López-Gonzálvez

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2 June 2020

Coral Barbas

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2 June 2020

author name string

Vanesa Alonso-Herranz

3

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2 June 2020

publication date

16 September 2015

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28 June 2017

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26376450%20AND%20SRC:MED&resulttype=core&format=json

2 June 2020

volume

36

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2 June 2020

issue

24

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2 June 2020

page(s)

3050-3060

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Controlling the quality of metabolomics data: new strategies to get the best out of the QC sample

2 June 2020

cites work

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7 January 2021

Direct infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control

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7 January 2021

The dynamic range of the human metabolome revealed by challenges

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7 January 2021

Large-scale human metabolomics studies: a strategy for data (pre-) processing and validation

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Semi-automated non-target processing in GC × GC-MS metabolomics analysis: applicability for biomedical studies

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A new approach to toxicity testing in Daphnia magna: application of high throughput FT-ICR mass spectrometry metabolomics

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7 January 2021

Analysis of longitudinal metabolomics data

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7 January 2021

The human circadian metabolome.

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7 January 2021

Mass spectrometry-based metabolic profiling reveals different metabolite patterns in invasive ovarian carcinomas and ovarian borderline tumors.

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7 January 2021

High-resolution extracted ion chromatography, a new tool for metabolomics and lipidomics using a second-generation orbitrap mass spectrometer

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7 January 2021

XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification

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7 January 2021

MeltDB: a software platform for the analysis and integration of metabolomics experiment data

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7 January 2021

MetaboAnalyst: a web server for metabolomic data analysis and interpretation

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7 January 2021

Counting missing values in a metabolite-intensity data set for measuring the analytical performance of a metabolomics platform

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7 January 2021

Separating the wheat from the chaff: a prioritisation pipeline for the analysis of metabolomics datasets

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7 January 2021

Influence of missing values substitutes on multivariate analysis of metabolomics data

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7 January 2021

Accounting for undetected compounds in statistical analyses of mass spectrometry 'omic studies.

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7 January 2021

Method development and validation for rat serum fingerprinting with CE–MS: application to ventilator-induced-lung-injury study

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7 January 2021

Missing value estimation methods for DNA microarrays

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7 January 2021

Identifiers

DOI

10.1002/ELPS.201500352

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26376450%20AND%20SRC:MED&resulttype=core&format=json

2 June 2020

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